Papers with RUN success

    1 papers
    RUN through the Streets: A New Dataset and Baseline Models for Realistic Urban Navigation (D19-1)

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    Challenge: Existing work on map-based NL navigation relies on small artificial worlds with a fixed set of entities known in advance.
    Approach: They propose a task to interpret navigation instructions in natural language (NL) they use a dataset aligned with real, dense, urban maps to study neural architectures .
    Outcome: The proposed task is based on a dataset of 2515 navigation instructions aligned with real routes over three regions of Manhattan.

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